class_docstr: Base class for seq2seq models with embeddings
    
docstr: Encodes the inputs.
      
docstr_tok: ["Encodes","the","inputs","."]
code: def encode(self, features, labels):
      """Encodes the inputs."""
      raise NotImplementedError()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import collections
  import tensorflow
  from seq2seq import graph_utils
  from seq2seq import losses
  from seq2seq.contrib.seq2seq.decoder import _transpose_batch_time
  from seq2seq.data import vocab
  from seq2seq.graph_utils import templatemethod
  from seq2seq.decoders.beam_search_decoder import BeamSearchDecoder
  from seq2seq.inference import beam_search
  from seq2seq.models.model_base import ModelBase, _flatten_dict
label_desc: Use image node_id 8 for calling the Seq2SeqModel obj's underlying member method code with example usage: obj.encode(features, labels) without return types